This is an in-depth dive into hallucinations in LLMs. See the illusions cast by modern AI generative models like ChatGPT, Bard and Claude. KDnuggets
Day: November 7, 2023
Unlock Data Science Potential with Your Laptop
Your laptop, from zero to hero Continue reading on Towards Data Science » Towards Data Science – Medium
Alternating updates for efficient transformers
Posted by Xin Wang, Software Engineer, and Nishanth Dikkala, Research Scientist, Google Research Contemporary deep learning models have been remarkably successful in many domains, ranging from natural language to computer vision. Transformer neural networks (transformers) are a popular deep learning architecture that today comprise the foundation for most tasks in natural language processing and also…
Harnessing the power of enterprise data with generative AI: Insights from Amazon Kendra, LangChain, and large language models
Large language models (LLMs) with their broad knowledge, can generate human-like text on almost any topic. However, their training on massive datasets also limits their usefulness for specialized tasks. Without continued learning, these models remain oblivious to new data and trends that emerge after their initial training. Furthermore, the cost to train new LLMs can…
Introduction to Giskard: Open-Source Quality Management for AI Models
To solve the conundrum of ensuring the quality of AI models in production — especially given the emergence of LLMs — we are thrilled to announce the official launch of Giskard, the premier open-source AI quality management system. KDnuggets
Random Forests in 2023: Modern Extensions of a Powerful Method
Random Forests came a long way Features of modern Random Forest methods. Source: Author. In terms of Machine Learning timelines, Random Forests (RFs), introduced in the seminal paper of Breimann ([1]), are ancient. Despite their age, they keep impressing with their performance and are a topic of active research. The goal of this article is to highlight…
How Splunk and Cisco will Keep Customers at the Center
This blog is co-authored by Gary Steele, President & CEO of Splunk. Gary Steele,President & CEO of Splunk A lot has happened since we announced our agreement to combine Cisco and Splunk. We’ve each b… Read more on Cisco Blogs Cisco Blogs
Using AI to optimize for rapid neural imaging
Connectomics, the ambitious field of study that seeks to map the intricate network of animal brains, is undergoing a growth spurt. Within the span of a decade, it has journeyed from its nascent stages to a discipline that is poised to (hopefully) unlock the enigmas of cognition and the physical underpinning of neuropathologies such as…
5 Ways You Can Use ChatGPT Vision for Data Analysis
Enhances data analysis by interpreting visual data, including math formula, data extraction, evaluating the results, dashboards, and charts. KDnuggets
Now, why should we care about Recommendation Systems…? ft. A soft introduction to Thompson Sampling
An ongoing Recommendation System series Photo by Myke Simon on Unsplash I caught myself today, once again for the 100…01-th day in a row, holding my late unopened dinner box as I'm browsing through Netflix for a show to watch while munching on my food. My feed is filled with a few too many Asian romance and…